Consulting
AI Product Security Assessment
Schedule a focused technical conversation that scopes your AI product risk, identifies the right advisory track, and translates your needs into a practical engagement proposal.
Selected service
AI Product Security Assessment
The deeper 2–4 week assessment for AI-enabled products — typically the follow-on to an AI Launch Security Review, or when a system needs full architecture, data-flow, trust-boundary, model and provider dependency, RAG surface, tenant isolation, authorization, privacy, logging, SDLC, and evidence review.
Duration
2-4 weeks
Deliverables
5 implementation-grade outputs
Rate
Scoped after discovery
What we cover
- System and trust-boundary map
- Reproducible high-impact findings
- Prioritized remediation backlog
- Control and evidence gaps
- Executive and engineering summaries
Scoping workflow
Collect the details before the call.
Use the service-specific intake below to collect the organization profile, stakeholders, systems, and files we need in advance. The same workspace data can later be managed from your client portal.
Structured intake
Turn this into a scoped engagement.
This form captures the organization details, stakeholders, systems, and assets we need before the scoping review. It saves into your client workspace so the same record can be updated later from your account area.
What we ask
- Which AI systems, product features, or agents are in scope first?
- Where do retrieval, tool use, and provider boundaries create the most uncertainty?
- What evidence already exists, and what is still missing?
- Which launch, customer, or incident deadline is driving the work?
What to upload
- Architecture diagram or service map
- AI feature inventory or application register
- Auth, retrieval, and model-provider notes
- Logs, traces, or screenshots from the current environment
- Any questionnaires or trust-center language already in circulation
Organization profile
Project details
Stakeholders
Who should receive the proposal, notes, and next steps?
Add at least one stakeholder so we know who to include in the follow-up.
Uploads
Add files, screenshots, or text artifacts before the call.
No uploads yet. Screenshots, docs, questionnaire exports, and notes can all be added here.
Saving writes this draft into your workspace profile. Nothing has been saved yet.
What we cover in the call
- • Your AI architecture, data sources, and model supply chain.
- • Risk profile for RAG, agents, prompt injection, and tool access.
- • Desired outcomes, timeline, and delivery constraints.
- • Recommended engagement format and next steps.
Typical duration
30 minutes
If you’re preparing:
- • A short summary of your AI program or feature.
- • Key risk concerns or audit requirements.
- • Current controls, telemetry, and team structure.